A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates

DOI10.1016/j.csda.2013.06.001zbMath1471.62113OpenAlexW2002578164MaRDI QIDQ1615132

Haocheng Li, Grace Y. Yi

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.06.001

zbMATH Keywords

longitudinal datapairwise likelihoodmissing covariatesmissing response

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses ⋮ Missing covariate data in generalized linear mixed models with distribution-free random effects ⋮ Variable selection via the composite likelihood method for multilevel longitudinal data with missing responses and covariates

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